AI projects succeed or fail on the strength of their data. In this course, you’ll learn to diagnose pipeline bottlenecks, enforce governance standards, and plan data workflows that keep projects on track. Through real-world scenarios, you’ll trace issues like stale feature vectors, audit data handling for compliance with regulations such as General Data Protection Regulation (GDPR), and design actionable plans for data acquisition, storage, and annotation. You’ll also practice translating technical findings into project-ready deliverables, like drafting a Jira epic for large-scale data labeling.
AI Data: Analyze, Govern, Plan
AI Data: Analyze, Govern, Plan
This course is part of Managing AI Projects That Ship and Scale Specialization
Instructor: ansrsource instructors
Access provided by ExxonMobil
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Technical Communication
- General Data Protection Regulation (GDPR)
- Performance Analysis
- Project Planning
- Data Management
- Jira (Software)
- Data Pipelines
- Data Quality
- Compliance Auditing
- Data Strategy
- Data Governance
- Regulation and Legal Compliance
- Data Integrity
- Personally Identifiable Information
- Process Analysis
- Dataflow
- Data Storage
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Taught in English
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December 2025
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This course is part of the Managing AI Projects That Ship and Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There is 1 module in this course
AI projects succeed or fail on the strength of their data. In this course, you’ll learn to diagnose pipeline bottlenecks, enforce governance standards, and plan data workflows that keep projects on track. Through real-world scenarios, you’ll trace issues like stale feature vectors, audit data handling for compliance with regulations such as General Data Protection Regulation (GDPR), and design actionable plans for data acquisition, storage, and annotation. You’ll also practice translating technical findings into project-ready deliverables, like drafting a Jira epic for large-scale data labeling.
What's included
6 videos3 readings4 assignments
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